Data Engineer

Posted 3 Days Ago
Arlington, VA, USA
In-Office
150K-155K Annually
Junior
Energy
The Role
Build and maintain Azure-based data platforms, architectures, pipelines, and integrations. Develop scalable data solutions using Azure Data Factory, Databricks, Python, Spark, and SQL; implement infrastructure as code, CI/CD, testing, governance, documentation, and data quality practices. Collaborate with BI developers, business stakeholders, and source-system owners to translate requirements into curated analytics datasets and support future capabilities including data warehousing, machine learning, streaming analytics, and visualization.
Summary Generated by Built In

Venture Global LNG (“Venture Global”) is a long-term, low-cost provider of American-produced liquefied natural gas. The company’s Louisiana-based export projects service the global demand for North American natural gas and support the long-term development of clean and reliable North American energy supplies. Using reliable, proven technology in an innovative plant design configuration, Venture Global’s modular, mid-scale plant design will replace traditional designs as it allows for the same efficiency and operational reliability at significantly lower capital cost.

We are seeking qualified applicants for the position:

Data Engineer

Located:

Arlington

Summary

The Data Engineer is responsible for developing, designing, and maintaining data platform solutions. The measures of an ideal candidate include communication skills, technical proficiency, collaboration, and willingness to learn new things. This new position will be based in our Arlington, VA headquarters and report to the Director of Business Intelligence. This position is structured within IT under the Vice President of Applications.

The position will be located in Arlington, VA.

General Description Duties & Responsibilities

  • Build complex data solutions in an Azure Cloud environment.
  • Maintain the Azure components and services.
  • Develop architecture changes using infrastructure as code.
  • Create data architectures diagrams for complex data modeling solutions.
  • Create and maintain data dictionaries for contextualizing data from disparate sources.
  • Enable end-to-end automation for deployment using continuous integration and continuous delivery.
  • Implement data pipelines to ingest data to the platform, standardize the data, and transform the data into business facing datasets.
  • Perform unit and integration testing of data pipelines.
  • Perform data integration at scale with Azure Data Factory.
  • Utilize Databricks to transform, curate, and organize data for use with business intelligence reporting and data analytics.
  • Work with BI developers and business SMEs to translate business requirements into curated datasets suitable for analytics solutions.
  • Document data pipelines for maintainability.
  • Work with source system owners and business owners to incorporate business changes into data pipelines.
  • Design data architecture for future platform growth including data warehousing, machine learning, streaming analytics, and data visualization.
  • Assist in testing, governance, data quality, training, and documentation efforts.
  • Actively engage in business stakeholder requirement workshops to understand, interpret, and translate requirements into effective technical solutions.

Qualifications

Required experience

  • Bachelor’s degree in Computer Science, Data Analytics, Engineering, Mathematics, Business, or related field of study.
  • 2+ years in cloud architecture and data engineering
  • Extensive experience in implementing data storage solutions, managing, and developing data processing, and optimizing data solutions (Azure)
  • Expertise in integrating, transforming, and consolidating data from structured and unstructured data systems suitable for analytics solutions.
  • Understanding of parallel processing and data architecture patterns.
  • Knowledgeable in data processing languages such as SQL, Python, or Spark.
  • Experience in building secure data processing pipelines using Azure data services.
  • Ability to self-manage and make your own decisions.
  • Excellent interpersonal and communications skills, with strong critical thinking and attention to detail.
  • Strong work ethic with ability to effectively prioritize, meet deadlines, adapt to changing priorities and business needs, and succeed in a fast-paced environment.
  • Excellent attention to detail and the ability to efficiently summarize and prioritize information.

Preferred Experience

  • Proficient in Microsoft Azure Storage Explorer, Azure DevOps, Azure Data Factory, Azure Databricks, Azure Data Lake Gen 2, Azure DevOps, Unity Catalog and Git
  • Experience in coding languages primarily Python and Spark. Experience in agile development and sprint planning. Strong technical writing skills.

Salary Range

$150,000 - $155,000

Venture Global LNG is an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law.

Skills Required

  • Bachelor's degree in Computer Science, Data Analytics, Engineering, Mathematics, Business, or a related field
  • 2+ years of experience in cloud architecture and data engineering
  • Extensive experience implementing data storage solutions, managing and developing data processing, and optimizing Azure data solutions
  • Experience integrating, transforming, and consolidating structured and unstructured data for analytics solutions
  • Understanding of parallel processing and data architecture patterns
  • Knowledge of SQL, Python, or Spark
  • Experience building secure data processing pipelines using Azure data services
  • Ability to self-manage and make independent decisions
  • Excellent interpersonal and communication skills, critical thinking, and attention to detail
  • Strong work ethic and ability to prioritize, meet deadlines, adapt to changing priorities, and work in a fast-paced environment
  • Ability to efficiently summarize and prioritize information
  • Proficiency with Azure Storage Explorer, Azure DevOps, Azure Data Factory, Azure Databricks, Azure Data Lake Gen2, Unity Catalog, and Git
  • Experience coding primarily in Python and Spark
  • Experience with agile development and sprint planning
  • Strong technical writing skills
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The Company
2,000 Employees
Year Founded: 2013

What We Do

Venture Global is an American producer and exporter of low-cost liquefied natural gas (LNG). The company operates a vertically integrated business spanning LNG production, natural-gas transportation, shipping, and regasification, with projects including Calcasieu Pass, Plaquemines LNG, and CP2 LNG in Louisiana. It also develops carbon-capture and sequestration projects at its LNG facilities and serves customers through an international office network.

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